Shanghai AI Lab unveils a science discovery platform built to close the loop from model to wet lab

量子位 · wechat · 2026-07-21

Shanghai AI Lab’s science platform ties together models, agents, and wet labs

This long article presents “Shusheng·Duanyan”, a scientific discovery platform from the Shanghai AI Lab, and argues that it aims to turn AI into a full research loop rather than a mere assistant.

Core idea

The platform tries to solve the “impossible triangle” in brain science: complex cognition, human-like models, and long, expensive experiments.
In zebrafish research, it builds a virtual fish with anatomy-grounded constraints and a closed-loop brain–body–environment simulation.
The article claims the digital zebrafish can predict behavior with 69%+ accuracy, while AI scientist agents match expert conclusions at 75%+.

Platform architecture

It describes five linked layers:

Compute via DeepLink,
Data via a scientific database with 28M+ papers,
Model via a 397B science model,
Agents for task decomposition,
Autonomous experiments for dry-to-wet validation.

Reported results

The platform is said to have helped across several areas, including:

brain science,
materials and electroplating,
quantum computing,
aerospace design,
and earth system modeling.

The broader pitch

The author frames the platform as a move from “repeating the known” to producing the unknown, with safety, provenance, and reproducibility built into the workflow.

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Shanghai AI Lab unveils a science discovery platform built to close the loop from model to wet lab

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